Security Engineer, Cloud Security
OpenAI279,000 - 385,000 USD/year
- Full Time
- Mid-level (3 to 4 years), Senior (5 to 8 years)
$110,000 – $145,000Compensation
Senior (5 to 8 years)Experience Level
Full TimeJob Type
UnknownVisa
Sports Analytics, Data Science, Cloud ComputingIndustries
Requirements
Candidates should possess 5-8 years of hands-on experience in AWS Security, including strong knowledge of IAM (roles, policies, least privilege), experience with AWS security services such as GuardDuty, Security Hub, Inspector, Macie, KMS, CloudTrail, WAF, Shield, familiarity with VPC security, subnet segmentation, NACLs, and security groups, and a deep understanding of the AWS Well-Architected Framework, especially the Security Pillar. Experience implementing and maintaining cloud security posture management (CSPM) tools and frameworks, proficiency in Infrastructure-as-Code (IaC) using tools such as Terraform, CloudFormation, or AWS CDK, and experience managing infrastructure and security policies through Git repositories are also required. Experience with security incident response in AWS environments, including detection, analysis, and mitigation, is essential.
Responsibilities
The AWS Cloud Security Engineer will integrate security tools into CI/CD pipelines, automate compliance and security checks, and manage infrastructure and security policies through Git repositories. They will secure Kubernetes clusters (EKS or self-managed) utilizing network policies, RBAC, Pod Security Standards, and runtime security, and will implement container security best practices (ECR, ECS, EKS, etc.). Furthermore, the role involves collaborating cross-functionally with developers, cloud engineers, and security teams, utilizing scripting languages like Python, Bash, or PowerShell for automation and security tooling, and applying security and logging tools such as BurpSuite, OWASP ZAP, CrowdStrike, Datadog, etc. to proactively identify and address potential vulnerabilities.
Skills
AWS
IAM
GuardDuty
Security Hub
Inspector
Macie
KMS
CloudTrail
WAF
Shield
VPC
NACLs
Security Groups
BurpSuite
OWASP ZAP
CrowdStrike
Datadog
Terraform
CloudFormation
AWS CDK
Snyk
Checkov
Trivy
SonarQube
Github
Container Security
Swish Analytics
Sports analytics and optimization tools provider
About Swish Analytics
Swish Analytics specializes in sports analytics and optimization tools for daily fantasy sports and sports betting, focusing on major U.S. leagues like the NFL, MLB, NBA, and NHL. The company uses an advanced machine learning system to analyze large datasets, providing accurate sports predictions and optimized lineups. This helps users, including individual bettors and professional operators, make informed decisions about their bets and fantasy picks. Swish Analytics differentiates itself by being an Authorized MLB Data Distributor, establishing trust in the sports betting community. Operating on a subscription-based model, users can access various levels of tools and analytics, starting with a free trial. The goal of Swish Analytics is to maximize return on investment for clients by identifying the best bets and balancing risk and reward for long-term success.
Key Metrics
San Francisco, CaliforniaHeadquarters
2014Year Founded
$6.5MTotal Funding
EARLY_VCCompany Stage
Fintech, AI & Machine Learning, Financial ServicesIndustries
51-200Employees